{"id":"W2256753750","doi":"","title":"Empirical Characterization of Call Money Market in India","year":2001,"lang":"en","type":"article","venue":"","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Money market; Monetary economics; Stock market; Financial economics; Foreign exchange market; Economics; Foreign exchange; Stock (firearms); Business; Interest rate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885451,0.0001330369,0.0002146201,0.002069069,0.0003856792,0.001405311,0.0004222796,0.0003579033,0.003464512],"category_scores_gemma":[0.002567692,0.0001678437,0.0002540992,0.001861367,0.0004088614,0.0007364341,0.0005316951,0.0006898798,0.0005769999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004486428,"about_ca_system_score_gemma":0.0004663054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057586,"about_ca_topic_score_gemma":0.009049768,"domain_scores_codex":[0.9996818,0.00004375723,0.00002805347,0.00003942501,0.00008005618,0.0001269527],"domain_scores_gemma":[0.9970329,0.0008715149,0.001218721,0.0001701025,0.0003388998,0.0003679459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001270438,0.0001310765,0.979776,0.00006560287,0.00004738347,0.0007209409,0.001453135,0.001374557,0.002205651,0.00427708,0.001686803,0.008134767],"study_design_scores_gemma":[0.000003708901,0.00002726529,0.9934765,0.00000961902,0.00001432453,0.0003772104,0.001153623,0.002600424,0.0004653222,0.0003617473,0.001498748,0.00001157545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994206,0.0001018435,0.000205747,0.0001426751,0.000003500599,0.000009789465,0.0009504623,0.00002137274,0.004358483],"genre_scores_gemma":[0.998462,0.00006348946,0.00008292195,0.00001647417,0.000009579416,0.000006152937,0.0007914102,0.000003632065,0.0005643892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057586,"threshold_uncertainty_score":0.02102858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590714831013389,"score_gpt":0.2432185396570789,"score_spread":0.217311391346945,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}